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Off-policy evaluation

Off-policy Evaluation (OPE), or offline evaluation in general, evaluates the performance of hypothetical policies leveraging only offline log data. It is particularly useful in applications where the online interaction involves high stakes and expensive setting such as precision medicine and recommender systems.

Papers

Showing 261265 of 265 papers

TitleStatusHype
Low Variance Off-policy Evaluation with State-based Importance SamplingCode0
Marginal Density Ratio for Off-Policy Evaluation in Contextual BanditsCode0
Batch Stationary Distribution EstimationCode0
Policy-Adaptive Estimator Selection for Off-Policy EvaluationCode0
Post Reinforcement Learning InferenceCode0
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